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’In silico’ testing of a real-time PMU-based tool for power system mode estimation

Baudette, Maxime (author)
KTH,Elkraftteknik,Smart Transmission Systems Lab
Singh, Ravi Shankar (author)
KTH,Elkraftteknik,Smart Transmission Systems Lab
Peric, Vedran S. (author)
KTH,Elkraftteknik,Smart Transmission Systems Lab
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Løvlund, Stig (author)
Vanfretti, Luigi (author)
KTH,Elkraftteknik,Smart Transmission Systems Lab
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 (creator_code:org_t)
IEEE Computer Society, 2016
2016
English.
In: 2016 IEEE Power and Energy Society General Meeting, PESGM 2016. - : IEEE Computer Society. - 9781509041688 ; , s. 1-5
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • This paper presents an overview of the software implementation of a real-time mode estimator application and its testing. The application was developed to estimate inter-area modes from both ambient and ring-down synchrophasor data from multiple phasor measurement units (PMU). The software application was implemented in LabVIEW using Statnett’s synchrophasor software development kit (S3DK), to receive real-time synchrophasor measurements. The different features of the application were tested using two types of experiments presented herein. The first experiment is performed using emulated signals from a simple linear model. The second experiment was designed to use a linearized representation of the KTH-Nordic32 power system model. These experiments are used to carry out quantitative analyses of the tool’s performance.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Keyword

Inter-area oscillations
Mode estimation
Phasor measurement units
Synchrophasors

Publication and Content Type

ref (subject category)
kon (subject category)

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Baudette, Maxime
Singh, Ravi Shan ...
Peric, Vedran S.
Løvlund, Stig
Vanfretti, Luigi
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
Articles in the publication
2016 IEEE Power ...
By the university
Royal Institute of Technology

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